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Support for Phenotype Microarray Data in Pathway Tools Suzanne - PowerPoint PPT Presentation

Support for Phenotype Microarray Data in Pathway Tools Suzanne Paley March 2013 SRI International Bioinformatics 1 PM display on All Growth Media Page SRI International Bioinformatics 2 PM Growth Medium Representation


  1. Support for Phenotype Microarray Data in Pathway Tools Suzanne Paley March 2013 SRI International Bioinformatics � 1 �

  2. PM display on All Growth Media Page SRI International Bioinformatics � 2 �

  3. PM Growth Medium Representation l Plate ID, Well ID l Constituents  Concentration  Role: source of C, N, P or S l Base medium l Name l Abbreviated name (just the added compound for PM media) l Citation, comment l pH l Osmolarity (computed from constituent concentrations) SRI International Bioinformatics � 3 �

  4. Growth Observation Representation l Growth media l Growth status: growth, no-growth, or low-growth  No support for capturing quantitative data l Citation, comment l Experimental variables  Aerobic/anaerobic  Temperature  Wildtype or knocked out genes SRI International Bioinformatics � 4 �

  5. Conflicts l Conflicts occur when multiple observations for the same medium and conditions record different growth statuses  We cannot detect conflicts when experiments use slightly different but equivalent media. l Conflict can be resolved by a curator  This creates a new, privileged growth observation frame  Curator should record rationale with comment or citation  GUI will still show all primary observations SRI International Bioinformatics � 5 �

  6. Growth Medium Display SRI International Bioinformatics � 6 �

  7. PM Data in EcoCyc l 5 Aerobic Datasets (4 for plates 2-4) Carbon Nitrogen Phosphorus Sulfur Total Total Wells 190 95 59 35 379 Observations 855 367 233 130 1585 Wells w/ conflicts 61 35 10 13 119 Resolved conflicts 53 10 6 5 74 Remaining 8 25 4 8 45 unresolved Remaining growth/no- 7 24 1 1 33 growth conflicts SRI International Bioinformatics � 7 �

  8. Other Growth Observations in EcoCyc l Low throughput data:  Wildtype observations from literature for 23 media  Wildtype observations generated by our group for 21 media l High throughput gene knockout data  5 datasets  2 on rich media  2 on glucose media  1 on glycerol media  17,269 total knockout growth observations SRI International Bioinformatics � 8 �

  9. Navigating to All Growth Media Page SRI International Bioinformatics � 9 �

  10. Changing Display Conditions l On All Growth Media page, can specify different set of conditions l Colors in display tables will update accordingly SRI International Bioinformatics � 10 �

  11. Generating Heatmaps SRI International Bioinformatics � 11 �

  12. Importing PM Data l File->Import->Phenotype Microarray Data from Spreadsheet … l Spreadsheet must be saved as tab-delimited text l One file per PM plate l Wells can be identified by either well ID or compound name/ID l Data values in spreadsheet can be either quantitative or qualitative  If quantitative, must specify cutoff values for no/low and low/ normal growth  If qualitative, must specify what text values match normal/low/ no growth SRI International Bioinformatics � 12 �

  13. Importing PM Data SRI International Bioinformatics � 13 �

  14. Importing PM Growth Media l Can either use base media from EcoCyc (or other PGDB) or create your own. SRI International Bioinformatics � 14 �

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